Lay summary
This research project explores the use of explainable artificial intelligence (XAI) to identify emerging, modifiable risk and protective factors for dementia, with a particular focus on individuals living with diabetes. The study aims to provide insights that support better healthcare outcomes for Māori, Pacific, and socioeconomically disadvantaged populations, who face a higher burden of both diabetes and dementia. By using comprehensive data from the Stats NZ Integrated Data Infrastructure (IDI), the project seeks to enhance healthcare access, reduce health inequities, and guide evidence-based policies. Through the use of XAI, the research team aims to uncover risk factors that traditional methods may overlook, ensuring transparency and trust in their findings. By focusing on high-risk groups, the study expects to provide evidence to inform policy interventions that improve dementia prevention, enhance quality of life, and contribute to national health goals, driving transformative change in healthcare delivery.